Triple
T21674824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tawaf al-Qudum |
E534939
|
entity |
| Predicate | sequenceRole |
P69568
|
FINISHED |
| Object | first tawaf for arriving pilgrim in Hajj or Umrah |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: first tawaf for arriving pilgrim in Hajj or Umrah | Statement: [Tawaf al-Qudum, sequenceRole, first tawaf for arriving pilgrim in Hajj or Umrah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequenceRole Context triple: [Tawaf al-Qudum, sequenceRole, first tawaf for arriving pilgrim in Hajj or Umrah]
-
A.
sequenceDirector
Indicates that one entity serves as the director responsible for overseeing or managing a particular sequence associated with another entity.
-
B.
sequenceInWork
Indicates that one work appears as a sequential part or installment within a larger overarching work.
-
C.
sequenceInEvent
Indicates that one event occurs as a specific step or ordered part within a larger, encompassing event.
-
D.
seriesRole
chosen
Indicates the specific role or function an entity has within a series or sequence of related items.
-
E.
sequenceInFilm
Indicates that one entity is a specific sequence or segment that appears within the narrative or structure of a particular film.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0ed5388190b8f1932fb3f11c6a |
completed | April 27, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:41 p.m.